The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Column() changed from object to string in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1391, in _parse
self.obj = DataFrame(
^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/frame.py", line 778, in __init__
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
raise ValueError("All arrays must be of the same length")
ValueError: All arrays must be of the same length
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FABDEM V1.2 STAC Catalog
Dataset Description
FABDEM (Forest And Buildings removed Copernicus DEM) is a global elevation dataset that provides a comprehensive 30-meter resolution digital elevation model with building and tree height biases systematically removed from the Copernicus GLO 30 Digital Elevation Model (DEM). This enhanced dataset offers more accurate representation of bare-earth topography for hydrological modeling, flood risk assessment, and other geospatial applications where vegetation and built infrastructure can introduce significant elevation errors.
Dataset Summary
- Resolution: 30 meters
- Coverage: Global
- Format: GeoTIFF tiles organized in STAC (SpatioTemporal Asset Catalog) format
- Total Items: 19,013 tiles
- Tile Coverage: Approximately 1° × 1° per tile
- Version: 1.2
- Data Type: Float32 elevation values in meters
- Coordinate Reference System: WGS84 (EPSG:4326)
Source and Development
This dataset has been developed by the University of Bristol as part of research published in Environmental Research Letters. The methodology removes vegetation and building heights from the original Copernicus DEM using machine learning techniques and auxiliary datasets, resulting in a more accurate representation of underlying terrain elevations.
Dataset Structure
The catalog is organized hierarchically to facilitate efficient data discovery and access:
fabdem-v12/
├── catalog.json (root catalog)
├── tiles/
| ├── N00E000-N10E010_FABDEM_V1-2/...
| └── ...
├── stac_catalog/
│ ├── catalog.json (root catalog)
| ├── N01E001_FABDEM_V1-2/...
| └── ...
Each tile follows the naming convention and covers approximately 1 degree of latitude and longitude, with tiles grouped into 10° × 10° regional folders mirroring the original data distribution structure.
Key Features
- STAC Compliance: Fully compliant with STAC specification for interoperability
- On-demand Access: Eliminates need to download large ZIP archives
Usage
For detailed usage examples, refer to the included notebook stac_catalog_query.ipynb.
Data Quality and Limitations
- Accuracy: Improved accuracy over original Copernicus DEM, particularly in forested and urban areas
- Temporal Snapshot: Represents conditions circa 2020
- Processing Artifacts: Some processing artifacts may remain in complex terrain
- Polar Regions: Coverage limitations in extreme polar regions following Copernicus DEM constraints
Technical Specifications
Provenance and Attribution
This STAC catalog implementation is inspired by the work at https://github.com/cordmaur/fabdem-brazil-south and provides improved accessibility to the original FABDEM dataset distributed by the University of Bristol.
Original Data Source: https://data.bris.ac.uk/data/dataset/s5hqmjcdj8yo2ibzi9b4ew3sn
Citation: When using this dataset, please cite the original research paper and acknowledge the data source.
License and Terms of Use
Please refer to the original data distribution terms at the University of Bristol repository.
References
Hawker, Laurence, Peter Uhe, Luntadila Paulo, Jeison Sosa, James Savage, Christopher Sampson, and Jeffrey Neal. "A 30 m Global Map of Elevation with Forests and Buildings Removed." Environmental Research Letters 17, no. 2 (February 2022): 024016. https://doi.org/10.1088/1748-9326/ac4d4f.
Contact and Support
For questions about the original dataset methodology and creation, contact the University of Bristol research team. For issues specific to this STAC catalog implementation, please refer to the repository documentation and issue tracker.
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